Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ghanem, Mohamed Chahine"'
Timeline Analysis (TA) is a key part of Timeline Forensics (TF) in Digital Forensics (DF), focusing primarily on examining and analysing temporal digital artefacts such as timestamps, derived from event logs, file metadata, and other related data to
Externí odkaz:
http://arxiv.org/abs/2409.02572
This research focused on enhancing post-incident malware forensic investigation using reinforcement learning RL. We proposed an advanced MDP post incident malware forensics investigation model and framework to expedite post incident forensics. We the
Externí odkaz:
http://arxiv.org/abs/2408.01999
Autor:
Farzaan, Mohammed Ashfaaq M., Ghanem, Mohamed Chahine, El-Hajjar, Ayman, Ratnayake, Deepthi N.
The escalating sophistication and volume of cyber threats in cloud environments necessitate a paradigm shift in strategies. Recognising the need for an automated and precise response to cyber threats, this research explores the application of AI and
Externí odkaz:
http://arxiv.org/abs/2404.05602
Intrusion detection systems perform post-compromise detection of security breaches whenever preventive measures such as firewalls do not avert an attack. However, these systems raise a vast number of alerts that must be analysed and triaged by securi
Externí odkaz:
http://arxiv.org/abs/2312.01219
The use of the un-indexed web, commonly known as the deep web and dark web, to commit or facilitate criminal activity has drastically increased over the past decade. The dark web is an in-famously dangerous place where all kinds of criminal activitie
Externí odkaz:
http://arxiv.org/abs/2309.05537
Autor:
Hamouda, Djallel, Ferrag, Mohamed Amine, Benhamida, Nadjette, Seridi, Hamid, Ghanem, Mohamed Chahine
Publikováno v:
In Internet of Things July 2024 26
Publikováno v:
Network (2673-8732); Mar2024, Vol. 4 Issue 1, p68-90, 23p
Publikováno v:
2016 International Conference On Cyber Situational Awareness, Data Analytics & Assessment (CyberSA); 2016, p1-7, 7p